Advanced Computing Systems and Architectures Laboratory

Building on the legacy of digital computing architectures, our research approaches topics in unconventional computing in an attempt to further the borders of known principles and mechanisms of information processing. 

We develop algorithms that are more efficient and map them to novel architectures in order to accommodate more complex computational phenomena and to achieve new levels of reliability and fault-tolerance. We search to uncover and exploit new computing architectures by observing biological processes and importing them into digital silicon. We strive to understand the intricate science of the new paradigm of quantum computing as a cross-breed of computer science and engineering, physics, and mathematics in order to devise new algorithms and deliver fast and accurate performance assessments.

Finally, we approach real-life issues, aiming at improving and expanding their current solutions. Digital devices and algorithms can be of assistance in sleep apnea disorders and cognitive disabilities, to name a few. And they can help to better understand the complex interactions that make up the common urban traffic for the purpose of maximizing its flow and providing improved management.

Research Areas

Research Fields:
Computing architectures
Hardware-software systems
Bio-inspired computing systems
Cyber-physical systems
Distributed and multiprocessor systems
Embedded systems
Emerging systems
Intelligent robotic environments
Operating systems
Parallel computing
Quantum computing
Real-time systems
Reconfigurable systems
System design and co-design
System reliability
System testing
Ubiquitous computing

Current Members


Research Team:

Selected Research Projects

Affiliated Rooms

  • B517
  • B520
  • B521

Description, History and Other Info



ACSA Lab: Advanced Computing Systems and Architectures Laboratory
Department of Computer and Information Technology
Politehnica University of Timisoara

  2, Vasile Pârvan Bvd., 300223, Timisoara, Romania
  Room B520
(256 40) 3278